Why AI misses advisory tax services — five fixes

Artificial-intelligence search and summary tools such as ChatGPT, Perplexity and Google’s AI Overviews draw on publicly available material to describe advisory firms. They pull language from websites, Form ADV filings, LinkedIn profiles, articles and podcast appearances and then synthesize a single description for prospective clients.

Those tools can produce accurate descriptions when tax services are stated clearly online. When tax work is implied or buried in broad language such as “holistic wealth management,” the tools may return generic or incorrect statements about a firm’s tax capabilities. Prospective clients increasingly use AI to check whether a firm handles tax strategy before contacting an advisor.

Richard Lavina, co-founder and CEO of Taxfyle and a CPA, noted, “If your tax planning capability doesn’t show up in those places, then it doesn’t exist in AI’s version of your practice.” He recommends treating public records as the primary signals AI will read.

Advisors can assess current AI summaries by searching their firm name along with terms such as tax planning, Roth conversion and tax strategy inside major AI tools. Reading the results as a prospective client creates a baseline view of how the practice appears to automated systems. Repeating that audit regularly, for example each quarter, accounts for changes to models and search indexes.

Firms can make tax services explicit on their websites by publishing a dedicated tax-planning page that lists specific services with plain language. Examples of specific services include tax-loss harvesting, charitable giving strategies, equity compensation planning and coordination with clients’ CPAs at filing time. An FAQ section with direct questions such as “Do you handle Roth conversions?” and “Is tax planning included in your fee?” improves the chance that automated systems will extract exact answers.

Advisors should align marketing copy with regulatory filings. AI tools treat Form ADV Part 2 brochure text as an authoritative source, so discrepancies between a website and SEC disclosures can produce conflicting summaries. Formatting that includes clear headings, Q&A structure and schema markup helps machine readers locate and lift accurate passages.

Public content also feeds AI summaries. Op-eds, trade-journal contributions, podcast appearances and LinkedIn posts that discuss tax strategy add searchable source material. Firms that have consistently described tax work in public records tend to generate more specific automated descriptions than firms that present tax as an occasional or implicit service.

Documenting tax services in visible public records increases the amount of explicit source material available to AI tools and to prospective clients seeking confirmation of a firm’s tax capabilities.